Xi Liang, Stephanie Hui-Wen Chuah and Lisa Tung
Employing the extended Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) framework, this study examines the potential differences between two groups of hotel guests �…
Abstract
Purpose
Employing the extended Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) framework, this study examines the potential differences between two groups of hotel guests – business and leisure travelers – in terms of factors influencing their intention to purchase hotel products on Douyin (TikTok) in China.
Design/methodology/approach
Data gathered from 700 Chinese hotel guests was analyzed using partial least squares-structural equation modeling (PLS-SEM) and multigroup analysis (MGA).
Findings
The MGA results reveal that three newly added variables – personalization, perceived interactivity and perceived creativity – significantly influence the purchase intention of leisure travelers but not business travelers. Regarding the conventional UTAUT2 variables, leisure travelers are more influenced by hedonic motivation and price value in their purchasing decisions. In contrast, performance expectancy and effort expectancy have a greater impact on the decision-making process of business travelers than their leisure counterparts.
Research limitations/implications
Theoretically, this paper is among the first to explore traveler types as moderators in the purchase of hotel products on Douyin. Practically, the findings offer valuable guidance for hotel marketers aiming to leverage Douyin to promote hotel products to these two different traveler segments.
Practical implications
Instead of using “one-size-fits-all” strategies, hotel managers should design marketing strategies that address the diverse needs of business and leisure travelers on Douyin. By implementing this strategy, they can effectively attract target customers and, in turn, increase hotel revenue.
Originality/value
This study expands the UTAUT2 framework and contributes to the scarce knowledge about the differences between business and leisure travelers regarding the relative importance of factors that influence their purchase intention for hotel products on Douyin among business and leisure travelers.
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Xi Liang Chen, Zheng Yu Xie, Zhi Qiang Wang and Yi Wen Sun
The six-axis force/torque sensor based on a Y-type structure has the advantages of simple structure, small space volume, low cost and wide application prospects. To meet the…
Abstract
Purpose
The six-axis force/torque sensor based on a Y-type structure has the advantages of simple structure, small space volume, low cost and wide application prospects. To meet the overall structural stiffness requirements and sensor performance requirements in robot engineering applications, this paper aims to propose a Y-type six-axis force/torque sensor.
Design/methodology/approach
The performance indicators such as each component sensitivities and stiffnesses of the sensor were selected as optimization objectives. The multiobjective optimization equations were established. A multiple quadratic response surface in ANSYS Workbench was modeled by using the central composite design experimental method. The optimal manufacturing structural parameters were obtained by using multiobjective genetic algorithm.
Findings
The sensor was optimized and the simulation results show that the overload resistance of the sensor is 200%F.S., and the axial stiffness, radial stiffness, bending stiffness and torsional stiffness are 14.981 kN/mm, 16.855 kN/mm, 2.0939 kN m/rad and 6.4432 kN m/rad, respectively, which meet the design requirements, and the sensitivities of each component of the optimized sensor have been well increased to be 2.969, 2.762, 4.010, 2.762, 2.653 and 2.760 times as those of the sensor with initial structural parameters. The sensor prototype with optimized parameters was produced. According to the calibration experiment of the sensor, the maximum Class I and II errors and measurement uncertainty of each force/torque component of the sensor are 1.835%F.S., 1.018%F.S. and 1.606%F.S., respectively. All of them are below the required 2%F.S.
Originality/value
Hence, the conclusion can be drawn that the sensor has excellent comprehensive performance and meets the expected practical engineering requirements.
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Yong Wu, Zelong Wei and Qiaozhuan Liang
The purpose of this paper is to describe the building of a theoretical model to explore how team pay disparity and resource slack moderate the effects of top management team (TMT…
Abstract
Purpose
The purpose of this paper is to describe the building of a theoretical model to explore how team pay disparity and resource slack moderate the effects of top management team (TMT) diversity on strategic change and if the moderating effects of resource slack differ in firms with a low or high level of pay disparity.
Design/methodology/approach
Nine hypotheses are proposed and tested with a sample from 391 listed Chinese firms. Archival data are collected from annual reports to form the sample. The hypothesized model relationships are tested through regression analysis.
Findings
The findings show that pay imparity negatively moderates the effects of TMT diversity and resource slack also has important moderating effects. Furthermore, the moderating effects of resource slack differ in firms with low and high team pay imparity.
Originality/value
TMT demography diversity has an important effect on strategic change. However, two conflicting views exist on the relationship. Although some literature suggests that diversity may be sources of explorative activities such as strategic change, others suggest that diversity may cause integration difficulty and thus has a negative effect on strategic change. This paper contributes to extant debate regarding the effects of TMT diversity on strategic change by including TMT pay imparity and resource slack to explain that the effect of diversity on strategic change is contingent on the level of pay imparity, resources slack, and their interactive effects. This research also contributes to understanding organization slack by reasoning that the moderating effect is contingent on pay imparity level.
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Isabel Buil, Sara Catalán and Tiago Oliveira
This study proposes and tests a model to analyse whether achievement, social and immersion motivational affordances embedded in gamified review platforms motivate consumers to…
Abstract
Purpose
This study proposes and tests a model to analyse whether achievement, social and immersion motivational affordances embedded in gamified review platforms motivate consumers to altruistically create content in the post-consumption stage.
Design/methodology/approach
We used data from a sample of 343 reviewers and employed SmartPLS to test the research model.
Findings
Findings revealed that, while achievement affordances (i.e. points, levels and badges) have no significant effect, immersion affordances (i.e. avatars) and more especially, social affordances (i.e. receiving helpful votes from readers and having followers) are key for review platforms, as they drive consumers to develop pure, reciprocal and competitive forms of altruism, which, in turn, motivate them to create content.
Research limitations/implications
This study examines the antecedents and consequences of altruistic purpose in the context of gamified review platforms by proposing research questions aimed at eliciting the effects of achievement, social and immersion affordances on altruism, and by providing the first empirical evidence for these paths.
Practical implications
This study provides practical guidance on how review platforms can implement social and immersion affordances to foster altruism and, ultimately, promote user-generated content in the form of comments, photos and videos.
Originality/value
To the best of the authors’ knowledge, the current study is the first to develop a model to predict whether gamification affordances promote forms of altruism that result in user-generated content. The findings will improve practitioners’ strategies by focussing on social and immersion motivational affordances.
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Zhiming Zhao, Rui Zhang, Feng Ji and Xiaoyang Yuan
High power and speed are new demands for rotating machinery which needs the journal bearings with high dynamic characteristics. The critical speed of the rotor-bearing system is…
Abstract
Purpose
High power and speed are new demands for rotating machinery which needs the journal bearings with high dynamic characteristics. The critical speed of the rotor-bearing system is one of the most significant parameters to evaluate the dynamic characteristics. This paper aims to investigate the theoretical and experimental analysis of a rotor system supported by large diameter elliptical bearings.
Design/methodology/approach
To obtain the theoretical and experimental support for rotor-bearing system design, dynamic characteristics theoretical analysis based on the finite difference method is given and an experiment focuses on critical speed identification is carried out.
Findings
The theoretical calculation results indicate that the critical speed is near to 800 rpm and there is no large vibration amplitude round working speed (1,500 rpm). Using the test bench in the factory unit, vibration data including three experimental processes are obtained. According to the vibration data, the critical speed is identified which also indicates that it is stable when working at 1,500 rpm.
Originality/value
The design method for the rotor system supported by large diameter elliptical bearing can be obtained by the theoretical and experimental results shown in this paper.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-04-2020-0122/
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Xi Liang and Shuai Zhang
The purpose of this paper is to study the relationship between service quality, price fairness and customer satisfaction in student food service.
Abstract
Purpose
The purpose of this paper is to study the relationship between service quality, price fairness and customer satisfaction in student food service.
Design/methodology/approach
To construct a satisfaction model with these two antecedents and conduct a questionnaire survey among the student customers of SiB's cafeteria within NHH premises.
Findings
The survey results shows that quality factors such as food quality, variety, convenience and price fairness have a significant impact on students' satisfaction with the cafeteria, while the impacts from interaction and environment factors are not significant.
Research limitations/implications
More interesting findings would be shown if including the interaction of service quality and price fairness.
Practical implications
Management in student food service can utilize the result to improve students' satisfaction efficiently.
Originality/value
A new survey on students' satisfaction based both on service quality and price fairness, implication for an increasingly important student food service industry.
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The purpose of this paper is to find the best solver for parallelizing particle methods based on solving Pressure Poisson Equation (PPE) by taking Moving Particle Semi-Implicit…
Abstract
Purpose
The purpose of this paper is to find the best solver for parallelizing particle methods based on solving Pressure Poisson Equation (PPE) by taking Moving Particle Semi-Implicit (MPS) method as an example because the solution for PPE is usually the most time-consuming part difficult to parallelize.
Design/methodology/approach
To find the best solver, the authors compare six Krylov solvers, namely, Conjugate Gradient method (CG), Scaled Conjugate Gradient method (SCG), Bi-Conjugate Gradient Stabilized (BiCGStab) method, Conjugate Gradient Squared (CGS) method with Symmetric Lanczos Algorithm (SLA) method and Incomplete Cholesky Conjugate Gradient method (ICCG) in terms of convergence, time consumption, parallel efficiency and memory consumption for the semi-implicit particle method. The MPS method is parallelized by the hybrid Open Multi-Processing (OpenMP)/Message Passing Interface (MPI) model. The dam-break flow and channel flow simulations are used to evaluate the performance of different solvers.
Findings
It is found that CG converges stably, runs fastest in the serial way, uses the least memory and has highest OpenMP parallel efficiency, but its MPI parallel efficiency is lower than SLA because SLA requires less synchronization than CG.
Originality/value
With all these criteria considered and weighed, the recommended parallel solver for the MPS method is CG.
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Shujian Zhang and Li Wang
We are in an information age, and the relationship between government governance and market efficiency has become closer. When examining the behavior of governance, the study of…
Abstract
Purpose
We are in an information age, and the relationship between government governance and market efficiency has become closer. When examining the behavior of governance, the study of government transparency is very important. This paper examines the environmental governance performance of Guangdong province, the most developed coastal region in China.
Design/methodology/approach
DEA method is adopted to calculate the environmental governance efficiency by considering the expected output and the nonexpected output. Then Tobit regression was used to analyze the relationship between fiscal transparency and environmental governance efficiency.
Findings
Through a quantitative study of empirical data of Guangdong province from 2001 to 2017, it is found that fiscal transparency does have a significant positive impact on the efficiency of local environmental governance. Therefore, it is suggested that all regions in Guangdong should be more transparent in administration, intensify industrial transformation and upgrading, and better govern the regional ecological environment.
Originality/value
This paper examines the environmental governance performance of Guangdong province, the most developed coastal region in China. Guangdong has developed economy and people’s living standards are high, so the market and residents are particularly concerned about the government performance in environmental governance. Therefore, it is an important issue to explore the relationship between environmental governance and government transparency in Guangdong.
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This study aims to investigate how opening high-speed railways affects the cost of debt financing based on China's background.
Abstract
Purpose
This study aims to investigate how opening high-speed railways affects the cost of debt financing based on China's background.
Design/methodology/approach
Using panel data on Chinese listed firms from 2008 to 2017, this study constructs a quasi-natural experiment and adopts a difference-in-difference model with multiple time periods to empirically examine the relation between the high-speed railway openings and debt financing cost.
Findings
Our results show that opening high-speed railways reduces the cost of debt financing, and this negative correlation is more significant in non-state firms, firms with weaker internal control, and firms that hire non-Big Four auditors. Besides, we explore the impact mechanisms and find that opening high-speed railways improves analyst attention, institutional investor participation, and information disclosure quality, which in turn lowers the cost of debt financing.
Research limitations/implications
The results imply that the opening of high-speed railways helps to alleviate the information asymmetry and adverse selection between firms and creditors and ultimately reduces the cost of corporate debt financing.
Practical implications
This paper can inform firms and stakeholders about the impact of opening high-speed railways on debt financing cost: it improves the information environment, reduces the geographical location restrictions of debt financing, ensures the reasonable pricing of corporate debt, and thus promotes the healthy and sound development of the debt market.
Originality/value
This paper provides theoretical support and empirical evidence for the impact of infrastructure construction on the information environment of the debt market in China, which enriches the research on the “high-speed railway economy.” In addition, as an exogenous event, the opening of high-speed railways instantly shortens the time distance between firms and external stakeholders, which gives us a natural environment to conduct empirical research, thus providing a new perspective for financial research on firms' geographical location.